Large-pipe-diameter rain sewage pipe network damage detection method based on BIM point cloud technology

Abstract

The invention discloses a BIM point cloud technology-based large-pipe-diameter rain sewage pipe network damage detection method. The method comprises the following steps of S1, establishing a reference coordinate system; s2, scanning to obtain pipeline point cloud data; s3, point cloud data processing; s4, constructing a point cloud entity model; and S5, performing model face comparison analysis: performing model face comparison analysis on the point cloud entity model and the pipe network BIM model in the point cloud detection software, and outputting differential display so as to judge a pipeline damage position and a damage type. Compared with an existing detection technology, the method has the advantages that the detection efficiency is greatly improved, manpower and material resources are saved, the informatization monitoring capacity of related units for existing and newly-built pipe networks is improved, and a basis is provided for repairing of the pipe networks.

Description

technical field [0001] The invention belongs to the technical field of detection and maintenance of municipal drainage pipe networks, and in particular relates to a method for detecting damage of large-diameter rainwater and sewage pipe networks based on BIM point cloud technology. Background technique [0002] With the development of the city, the built-up area of ​​the urban area continues to increase, and the total length of the municipal rainwater and sewage pipe network also continues to increase, making it more difficult to monitor the status of the pipe network. At the same time, the existing rainwater and sewage pipe network has been in operation for a long time and is also aging to varying degrees, which further poses challenges to the status monitoring of the entire pipe network. Since the status of the pipe network is related to the normal operation of the entire urban drainage system, it must be monitored regularly. In some areas, water level sensors and remote ...

AI Technical Summary

Problems solved by technology

However, for problems such as pipeline damage and leakage that are prone to occur, they can only be found through manual inspections or machine inspections controlled by personnel.

The existing inspection method is inefficient, consumes a lot of manpower and material resources, and the interval between inspections is long, and pipeline damage is often very hidden. If it is not found in time, the long-term leakage of sewage will lead to groundwater and soil pollution, and may lead to leakage The damage to the adjacent foundation will further cause the pipeline to settle, resulting in more serious damage to the pipeline

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